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#
# Copyright (C) 2017 The Android Open Source Project
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
lookups = 4
keys = 3
rows = 3
features = 2
table = [x for x in range(rows * features)]
for i in range(rows):
for j in range(features):
table[i * features + j] = i * 10 + j
model = Model()
lookup = Input("lookup", "TENSOR_INT32", "{%d}" % (lookups))
key = Input("key", "TENSOR_INT32", "{%d}" % (keys))
value = Input("value", "TENSOR_QUANT8_ASYMM", "{%d, %d}, 0.5f, 0" % (rows, features))
output = Output("output", "TENSOR_QUANT8_ASYMM", "{%d, %d}, 0.5f, 0" % (lookups, features))
hits = Output("hits", "TENSOR_QUANT8_ASYMM", "{%d}, 1.f, 0" % (lookups))
model = model.Operation("HASHTABLE_LOOKUP", lookup, key, value).To([output, hits])
input0 = {lookup: [123, 250, 255, 0],
key: [0, 123, 255],
value: table}
output0 = {output:
[
10, 11, # 2nd item
0, 0, # Not found
20, 21, # 1st item
0, 1, # 0th item
],
hits:
[
1, 0, 1, 1,
]
}
# Instantiate an example
Example((input0, output0))
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